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3,649
A System for Video Surveillance and Monitoring
, 2000
"... Under the three-year Video Surveillance and Monitoring (VSAM) project (1997--1999), the Robotics Institute at Carnegie Mellon University (CMU) and the Sarnoff Corporation developed a system for autonomous Video Surveillance and Monitoring. The technical approach uses multiple, cooperative video s ..."
Abstract
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Cited by 232 (0 self)
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Under the three-year Video Surveillance and Monitoring (VSAM) project (1997--1999), the Robotics Institute at Carnegie Mellon University (CMU) and the Sarnoff Corporation developed a system for autonomous Video Surveillance and Monitoring. The technical approach uses multiple, cooperative video
VIDEO SURVEILLANCE SYSTEMS
"... This paper is review of many existing video surveillance systems. With the growing quantity of security video, it becomes vital that video surveillance system be able to support security personnel in monitoring and tracking activities. The aim of the surveillance applications is to detect, track and ..."
Abstract
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Cited by 2 (0 self)
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This paper is review of many existing video surveillance systems. With the growing quantity of security video, it becomes vital that video surveillance system be able to support security personnel in monitoring and tracking activities. The aim of the surveillance applications is to detect, track
Video Surveillance for Theft Detection
"... Abstract—Surveillance is an essential tool in maintaining security in the premises of organizations, shopping complexes, financial and educational institutions. Security from theft is of critical importance to all organizations. Video surveillance is an effective tool in the prevention or detection ..."
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Abstract—Surveillance is an essential tool in maintaining security in the premises of organizations, shopping complexes, financial and educational institutions. Security from theft is of critical importance to all organizations. Video surveillance is an effective tool in the prevention or detection
The Segmentation and Tracking of individuals in an indoor video surveillance environment
, 2007
"... individuals in an indoor video surveillance environment ..."
Middleware for Video Surveillance Networks
"... Automated video surveillance networks are a class of sensor networks with the potential to enhance the protection of facilities such as airports and power stations from a wide range of threats. However, current systems are limited to networks of tens of cameras, not the thousands required to protect ..."
Abstract
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Cited by 4 (1 self)
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Automated video surveillance networks are a class of sensor networks with the potential to enhance the protection of facilities such as airports and power stations from a wide range of threats. However, current systems are limited to networks of tens of cameras, not the thousands required
Human Tracking in Video Surveillance
"... Abstract — In the last decade, due to the increase in terrorist activities and general social problems, providing security to citizens have become the top most priorities for almost all the nations and for the same, a very close watch is required to be kept in the areas that needs security. Keeping ..."
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Cited by 2 (0 self)
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statement we can say that video surveillance is nothing but taking the video, identifying unwanted entities, tracking their actions, understanding their actions and raising an alarm. In this paper, we will be study the phases of the video surveillance system. We will see the 3 main methods of human
Experiential Sampling for Video Surveillance
- In Proc. 1 st ACM Int. Workshop on Video Surveillance
, 2003
"... Due to the decreasing costs and increasing miniaturization of video cameras, the use of digital video based surveillance as a tool for real-time monitoring is rapidly increasing. In this paper, we present a new methodology for real-time video surveillance based on Experiential Sampling. We use this ..."
Abstract
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Cited by 20 (7 self)
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Due to the decreasing costs and increasing miniaturization of video cameras, the use of digital video based surveillance as a tool for real-time monitoring is rapidly increasing. In this paper, we present a new methodology for real-time video surveillance based on Experiential Sampling. We use
Targeting the Unwanted. Video Surveillance and
- Categorical Exclusion in Oslo, Norway’, Surveillance and Society
, 2004
"... The rise of video surveillance in the United Kingdom, in the form of the public installation of closed circuit television (CCTV), has been seen by several scholars as a contributing factor to the increasing exclusion of unwanted categories of people from city centers, a develo pment often referred t ..."
Abstract
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Cited by 1 (0 self)
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The rise of video surveillance in the United Kingdom, in the form of the public installation of closed circuit television (CCTV), has been seen by several scholars as a contributing factor to the increasing exclusion of unwanted categories of people from city centers, a develo pment often referred
Adaptive Maritime Video Surveillance
"... Maritime assets such as ports, harbors, and vessels are vulnerable to a variety of near-shore threats such as small-boat attacks. Currently, such vulnerabilities are addressed predominantly by watchstanders and manual video surveillance, which is manpower intensive. Automatic maritime video surveill ..."
Abstract
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Cited by 2 (1 self)
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Maritime assets such as ports, harbors, and vessels are vulnerable to a variety of near-shore threats such as small-boat attacks. Currently, such vulnerabilities are addressed predominantly by watchstanders and manual video surveillance, which is manpower intensive. Automatic maritime video
Appearance Tracking for Video Surveillance
"... Abstract. We present an algorithm which tracks multiple objects for video surveillance applications. This algorithm is based on a Bayesian framework and a Particle filter. In order to use this method in practical applications we define a statistical model of the object appearance to build a robust l ..."
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Abstract. We present an algorithm which tracks multiple objects for video surveillance applications. This algorithm is based on a Bayesian framework and a Particle filter. In order to use this method in practical applications we define a statistical model of the object appearance to build a robust
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